Homography Based Egomotion Estimation with a Common Direction

被引:47
|
作者
Saurer, Olivier [1 ]
Vasseur, Pascal [2 ]
Boutteau, Remi [3 ]
Demonceaux, Cedric [4 ]
Pollefeys, Marc [1 ]
Fraundorfer, Friedrich [5 ]
机构
[1] Swiss Fed Inst Technol, Comp Vis & Geometry Grp, Dept Comp Sci, Zurich, Switzerland
[2] Univ Rouen, LITIS, Rouen, France
[3] ESIGELEC, IRSEEM, Rouen, France
[4] Univ Bourgogne, UMR CNRS 6306, Le2i, Dijon, France
[5] Graz Univ Technol, Inst Comp Graph & Vis, Graz, Austria
关键词
Computer vision; egomotion estimation; homography estimation; structure-from-motion; VISION; MOTION;
D O I
10.1109/TPAMI.2016.2545663
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images. These solutions depend on the prior knowledge about the reference plane used by the homography. We then demonstrate that the number of matched points can vary from two to three and that a direct closed-form solution or a Grobner basis based solution can be derived according to this plane. Many experimental results on synthetic and real sequences in indoor and outdoor environments show the efficiency and the robustness of our approach compared to standard methods.
引用
收藏
页码:327 / 341
页数:15
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